Suche

Inhalt

Computers can store large amounts of data that are
hard to oversee and to keep track of. This talk explains some of the
ways how computers can produce meaningful and purposeful text from
non-linguistic data. We look at three different areas for which new text
is needed.
(Spoken) dialogues have become rather common on smartphones or with
in-car applications. How does the system know to express itself in such
a way that it meets the user's point of interest? Second, if we want the
computer to take a text and rewrite it in some other language, how can
does the system ensure the result entails the same meaning? And finally,
in the many situations where we simply want a linguistic overview of a
given selection of data, how does the system produce a well-structured,
coherent and fluent text?
With a focus on the latter part, we will investigate different ways of
text generation and show their promises and limitations.